Perception is essential for Intelligence
Einen Wagen mit Chauffeur könnte es irgendwann für jeden geben, wenn nämlich ein Roboter das Steuer übernimmt. Damit Autos auch ohne großen technischen Aufwand autonom fahren können, müssen Computer unübersichtliche Verkehrssituation jedoch mindestens genauso gut beurteilen wie der Mensch.
The 2015 PAMI Mark Everingham Prize was awarded to the Middlebury Dataset (Daniel Scharstein, Richard Szeliski, and team) for a series of datasets and on-line evaluations, starting with the Stereo datasets in 2001, and extending to Optical Flow, MRF and others, which have inspired many other datasets. Michael Black was part of the team behind the Optical Flow dataset and evaluation.
Excellent doctoral dissertation
Dr. Jakob Zscheischler is to receive this year’s Wladimir Peter Köppen Award. The Cluster of Excellence CliSAP selected the mathematician for his excellent doctoral dissertation submitted at the Swiss Federal Institute of Technology Zurich (ETH) in 2014. His work was rated trendsetting by the jurors who found its thematic and methodical approach particularly original. Jakob Zscheischler completed his dissertation in Germany at the German Max Planck Institute for Biogeochemistry in Jena and the Max Planck Institute for Intelligent Systems in Tübingen.
PhD student will present her work on optimization for deep learning
Maren Mahsereci's paper on probabilistic line searches for stochastic optimization has been selected for a full oral presentation at the flagship conference of machine learning.
Inauguration Ceremony in Tübingen
(From left to right): Prof. Dr. Bradley Nelson (ETH Zürich), Dr. Stefan Schaal (MPI for Intelligent Systems), Christine Schraner Burgener (Swiss Ambassador to Germany), Prof. Dr. Lino Guzella (President ETH Zürich), Prof. Dr. Martin Stratmann (President Max Planck Society), Theresia Bauer (Science Minister of Baden-Württemberg), Prof. Dr. Bernhard Schölkopf MPI for Intelligent Systems and Co-Director of the CLS), Prof. Dr. Thomas Hofmann (ETH Zürich, Co-Director of the CLS).
Researchers from ETH Zürich and MPI for Intelligent Systems come together to exchange ideas and discuss challenges for Learning Control
Albeit Learning Control is not uniquely defined, we understand Learning Control as the rather broad research area that lies at the intersection of Machine Learning and Automatic Control. This includes, but is not limited to data-driven approaches for control design, adaptive control, dual control, machine learning for control, online learning, active learning for control, reinforcement learning, and applications of learning control.
2nd prize at the "Fast Forward Science 2015" Competition
The movie "Light gets on your nerves" was financed and coordinated by the Max Planck Society and pictures the research of the Brain-Computer-Interfaces group at our institute.
"Thesis in 3"
Presenting research in a clear, concise and coherent way is an important skill for a successful academic career. Young researchers at MPI.IS were invited to show that they are able to summarise their Bachelor’s, Master’s or PhD thesis or Postdoc project in three minutes and a maximum of three slides and win this year’s MPI IS “Thesis in Three” Award. The goal is to present their project, its context and significance in a general and understandable way, so any person regardless of their academic background can understand it.
New building in Tübingen
The celebration of the roof topping ceremony ("Richtfest") on October 27, 2015 marked an important milestone for our institute. We were blessed with great weather, smiling robots and lot´s of interested people.